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2020 – today
- 2024
[j2]Miroslav Krstic, Luke Bhan, Yuanyuan Shi:
Neural operators of backstepping controller and observer gain functions for reaction-diffusion PDEs. Autom. 164: 111649 (2024)- [j1]Luke Bhan
, Yuanyuan Shi, Miroslav Krstic:
Neural Operators for Bypassing Gain and Control Computations in PDE Backstepping. IEEE Trans. Autom. Control. 69(8): 5310-5325 (2024) - [c7]Luke Bhan, Yuanyuan Shi, Iasson Karafyllis, Miroslav Krstic, James B. Rawlings:
Moving-Horizon Estimators for Hyperbolic and Parabolic PDEs in 1-D. ACC 2024: 4735-4740 - [c6]Luke Bhan, Yuexin Bian, Miroslav Krstic, Yuanyuan Shi:
PDE control gym: A benchmark for data-driven boundary control of partial differential equations. L4DC 2024: 1083-1095 - [i9]Maxence Lamarque, Luke Bhan, Rafael Vázquez, Miroslav Krstic:
Gain Scheduling with a Neural Operator for a Transport PDE with Nonlinear Recirculation. CoRR abs/2401.02511 (2024) - [i8]Luke Bhan, Yuanyuan Shi, Iasson Karafyllis, Miroslav Krstic, James B. Rawlings:
Moving-Horizon Estimators for Hyperbolic and Parabolic PDEs in 1-D. CoRR abs/2401.02516 (2024) - [i7]Maxence Lamarque, Luke Bhan, Yuanyuan Shi, Miroslav Krstic:
Adaptive Neural-Operator Backstepping Control of a Benchmark Hyperbolic PDE. CoRR abs/2401.07862 (2024) - [i6]Luke Bhan, Yuexin Bian, Miroslav Krstic, Yuanyuan Shi:
PDE Control Gym: A Benchmark for Data-Driven Boundary Control of Partial Differential Equations. CoRR abs/2405.11401 (2024) - [i5]Luke Bhan, Yuanyuan Shi, Miroslav Krstic:
Adaptive control of reaction-diffusion PDEs via neural operator-approximated gain kernels. CoRR abs/2407.01745 (2024) - 2023
- [c5]Luke Bhan, Yuanyuan Shi, Miroslav Krstic:
Neural Operators for Hyperbolic PDE Backstepping Kernels. CDC 2023: 5202-5207 - [c4]Luke Bhan, Yuanyuan Shi, Miroslav Krstic:
Neural Operators for Hyperbolic PDE Backstepping Feedback Laws. CDC 2023: 5994-5999 - [c3]Luke Bhan, Yuanyuan Shi, Miroslav Krstic:
Operator Learning for Nonlinear Adaptive Control. L4DC 2023: 346-357 - [i4]Luke Bhan, Yuanyuan Shi, Miroslav Krstic:
Neural Operators for Bypassing Gain and Control Computations in PDE Backstepping. CoRR abs/2302.14265 (2023) - [i3]Miroslav Krstic, Luke Bhan, Yuanyuan Shi:
Neural Operators of Backstepping Controller and Observer Gain Functions for Reaction-Diffusion PDEs. CoRR abs/2303.10506 (2023) - 2022
- [c2]Luke Bhan, Marcos Quiñones-Grueiro, Gautam Biswas:
Concurrent Policy Blending and System Identification for Generalized Assistive Control. ICRA 2022: 7499-7504 - [i2]Luke Bhan, Marcos Quiñones-Grueiro, Gautam Biswas:
Concurrent Policy Blending and System Identification for Generalized Assistive Control. CoRR abs/2205.09836 (2022) - 2021
- [c1]Luke Bhan, Marcos Quiñones-Grueiro, Gautam Biswas:
Fault Tolerant Control combining Reinforcement Learning and Model-based Control *. SysTol 2021: 31-36
2010 – 2019
- 2017
- [i1]Adam Stager, Luke Bhan, Andreas A. Malikopoulos, Liuhui Zhao:
A Scaled Smart City for Experimental Validation of Connected and Automated Vehicles. CoRR abs/1710.11408 (2017)
Coauthor Index
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